Researchers at NIT Rourkela have developed an innovative AI-enabled microscopy technology aimed at enhancing biomedical diagnostics.
This new autofocusing technology, patented under the title ‘A Method for Autofocusing in Optofluidic Microsystems and Processes,’ is designed to address the limitations of conventional microscopy systems, which often rely on manual adjustments that can introduce errors and delays in diagnosis. The team, led by Prof. Earu Banoth and collaborating with Glowvista Instruments, has created a system that integrates deep learning with optical imaging to enable real-time analysis and automatic focus adjustments.
The system has demonstrated accuracy in detecting conditions such as Acute Lymphoblastic Leukemia and malaria, showcasing its potential for rapid and precise diagnostics. With a development cost of approximately Rs 1.20 lakh, the technology aims to provide a user-friendly, handheld alternative to existing automated microscopy solutions. Future applications could extend to digital pathology, microfluidic analysis, and even portable diagnostic systems, reflecting a significant advancement in healthcare technology.
Looking ahead, the research team plans to gather ground truth data and conduct field tests to refine the technology for market readiness. They are actively seeking funding to support these efforts, indicating a strong commitment to bringing this innovative solution to healthcare settings.